Art painting education on student anxiety from the perspective of aesthetic psychology

Abstract

Background

Psychological anxiety is becoming increasingly prominent in university education, which can have a serious negative impact on students’ learning and development. In order to effectively intervene the anxiety disorder of students, the study of the influence of college art painting education on students’ psychological anxiety from the perspective of aesthetic education psychology can play a certain auxiliary role in the treatment of anxiety disorder students.

Subjects and Methods

200 college students with anxiety disorders were selected as the experimental group, who received college art and painting education, and another 200 college students were divided into the control group, who did not receive art and painting education. The Generalized Anxiety Disorder-7 (GAD-7) scale was used to evaluate the psychological anxiety of the two groups of students. The evaluation was carried out once every semester, lasting for a total of two semesters.

Results

At the end of the first semester, the average anxiety score of the experimental group was 10, and that of the control group was 15. At the end of the second semester, the mean anxiety score was 8 for the experimental group and 18 for the control group. The anxiety of the experimental group was significantly lower than that of the control group.

Conclusions

By participating in art painting activities, students can release pressure, cultivate creativity and expression ability, improve self-cognition and emotional regulation ability, and thus reduce psychological anxiety. Therefore, colleges and universities should strengthen the promotion and application of art painting education to provide better mental health support for students.

Acknowledgement

Research Project of Educational Science Research in Inner Mongolia Autonomous Region in 2020 under the 13th Five Year Plan, Exploration and research on the reform of basic painting curriculum of art major in the era of big data (No.NGJGH2020036).